Daniela Gramaglia

1.3k total citations
12 papers, 1.1k citations indexed

About

Daniela Gramaglia is a scholar working on Molecular Biology, Hepatology and Virology. According to data from OpenAlex, Daniela Gramaglia has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Hepatology and 2 papers in Virology. Recurrent topics in Daniela Gramaglia's work include Liver physiology and pathology (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Daniela Gramaglia is often cited by papers focused on Liver physiology and pathology (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Daniela Gramaglia collaborates with scholars based in Italy, United States and United Kingdom. Daniela Gramaglia's co-authors include Paolo M. Comoglio, Andrea Graziani, Lewis C. Cantley, Alberto Bardelli, Andrea Rasola, Paola Longati, Carla Boccaccio, Maria Cristina Stella, Maria Flavia Di Renzo and Francesca De Bacco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Daniela Gramaglia

12 papers receiving 1.0k citations

Peers

Daniela Gramaglia
Ruoyu Gong United States
Alicia V. Palleroni United States
Thomas Pleli Germany
Trevor Hay United Kingdom
Frank Markland United States
Deepika Rajesh United States
Ruoyu Gong United States
Daniela Gramaglia
Citations per year, relative to Daniela Gramaglia Daniela Gramaglia (= 1×) peers Ruoyu Gong

Countries citing papers authored by Daniela Gramaglia

Since Specialization
Citations

This map shows the geographic impact of Daniela Gramaglia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Gramaglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gramaglia more than expected).

Fields of papers citing papers by Daniela Gramaglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Gramaglia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Gramaglia. The network helps show where Daniela Gramaglia may publish in the future.

Co-authorship network of co-authors of Daniela Gramaglia

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Gramaglia. A scholar is included among the top collaborators of Daniela Gramaglia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Gramaglia. Daniela Gramaglia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Stella, Giulia Maria, Silvia Benvenuti, Daniela Gramaglia, et al.. (2010). MET mutations in cancers of unknown primary origin (CUPs). Human Mutation. 32(1). 44–50. 58 indexed citations
2.
3.
Gramaglia, Daniela, Barbara R. Conway, Victoria Kett, Karl Malcolm, & Hannah Batchelor. (2005). High speed DSC (hyper-DSC) as a tool to measure the solubility of a drug within a solid or semi-solid matrix. International Journal of Pharmaceutics. 301(1-2). 1–5. 56 indexed citations
4.
Gramaglia, Daniela, Alessandra Gentile, Massimo Battaglia, et al.. (2004). Apoptosis to necrosis switching downstream of apoptosome formation requires inhibition of both glycolysis and oxidative phosphorylation in a BCL-XL- and PKB/AKT-independent fashion. Cell Death and Differentiation. 11(3). 342–353. 32 indexed citations
5.
Rasola, Andrea, Sergio Anguissola, Daniela Gramaglia, et al.. (2004). Hepatocyte Growth Factor Sensitizes Human Ovarian Carcinoma Cell Lines to Paclitaxel and Cisplatin. Cancer Research. 64(5). 1744–1750. 40 indexed citations
6.
Rasola, Andrea, Daniela Gramaglia, Carla Boccaccio, & Paolo M. Comoglio. (2001). Apoptosis Enhancement by the HIV-1 Nef Protein. The Journal of Immunology. 166(1). 81–88. 86 indexed citations
7.
Vigna, Elisa, Daniela Gramaglia, Paola Longati, Alberto Bardelli, & Paolo M. Comoglio. (1999). Loss of the exon encoding the juxtamembrane domain is essential for the oncogenic activation of TPR-MET. Oncogene. 18(29). 4275–4281. 56 indexed citations
8.
Bardelli, Alberto, Paola Longati, Daniela Gramaglia, et al.. (1998). Uncoupling signal transducers from oncogenic MET mutants abrogates cell transformation and inhibits invasive growth. Proceedings of the National Academy of Sciences. 95(24). 14379–14383. 85 indexed citations
9.
Bardelli, Alberto, Paola Longati, Daniela Gramaglia, Maria Cristina Stella, & Paolo M. Comoglio. (1997). Gab1 coupling to the HGF/Met receptor multifunctional docking site requires binding of Grb2 and correlates with the transforming potential. Oncogene. 15(25). 3103–3111. 118 indexed citations
10.
Graziani, Andrea, Francesco Galimi, Enzo Médico, et al.. (1996). The HIV-1 Nef Protein Interferes with Phosphatidylinositol 3-Kinase Activation 1. Journal of Biological Chemistry. 271(12). 6590–6593. 51 indexed citations
11.
Graziani, Andrea, et al.. (1993). Hepatocyte growth factor/scatter factor stimulates the Ras-guanine nucleotide exchanger. Journal of Biological Chemistry. 268(13). 9165–9168. 171 indexed citations
12.
Graziani, Andrea, Daniela Gramaglia, Lewis C. Cantley, & Paolo M. Comoglio. (1991). The tyrosine-phosphorylated hepatocyte growth factor/scatter factor receptor associates with phosphatidylinositol 3-kinase.. Journal of Biological Chemistry. 266(33). 22087–22090. 223 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026